Question about Pseudo-labels are source domain but not target domain in the code

[jingzhengli]

Hi, thanks for the nice code~
I have some questions about the pseudo-labels training part of the code,

this is the pseudo labeling loss of the source data as Eq.11 in paper:
loss_seg1 = self.update_variance(labels, pred1, pred2), in which the labels come from the source domain.

the target domain does not use the pseudo-labels but the entropy minimization:
loss_kl = ( self.kl_loss(self.log_sm(pred_target2) , mean_pred) + self.kl_loss(self.log_sm(pred_target1) , mean_pred))/(nhw)

[jingzhengli]

I saw the #Issue 8 and it solved my confusion